Data Platform Architect
TaskUs (company site, opens in a new tab)8+ yrsRemoteDirect career pageEst. 30–55 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of a decoupled Lakehouse data platform architecture on AWS and Kubernetes using Apache Iceberg.
- Optimize multi-engine compute workload matching to minimize cloud spend and maximize performance, including DuckDB, PyIceberg, dbt, and serverless query engines.
- Engineer automated data governance, cataloging, and quality frameworks with embedded zero-trust security and multi-layer data quality gates.
Minimum Requirements
- 8+ years in platform architecture or infrastructure engineering with experience building production-grade open-standard data platforms from scratch.
- Expertise in Apache Iceberg or similar open table formats with ACID transactions on object storage (S3).
- Proficiency in Kubernetes (EKS/K8s) including deploying containerized execution runners, and advanced Apache Airflow for orchestration.
- Advanced AWS cloud infrastructure knowledge including S3, EKS, IAM, EC2, and serverless query serving with strict storage-compute separation and FinOps optimization.
Ideal Candidate Profile
- Strong architect with deep technical expertise in open-standard data platforms and multi-engine compute environments.
- Experience managing complex data governance, metadata catalog integration (Apache Polaris, Glue), and automated data quality enforcement.
- Skilled in communicating technical architectural decisions and trade-offs to executive leadership and cross-functional teams.